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McClintock_2019_ApJ_872_53.pdf
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Final Published version
Author
McClintock, ThomasRozo, Eduardo
Becker, Matthew R.
DeRose, Joseph
Mao, Yao-Yuan
McLaughlin, Sean
Tinker, Jeremy L.
Wechsler, Risa H.
Zhai, Zhongxu
Affiliation
Univ Arizona, Dept PhysIssue Date
2019-02-10
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IOP PUBLISHING LTDCitation
Thomas McClintock et al 2019 ApJ 872 53Journal
ASTROPHYSICAL JOURNALRights
© 2019. The American Astronomical Society. All rights reserved.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Existing models for the dependence of the halo mass function on cosmological parameters will become a limiting source of systematic uncertainty for cluster cosmology in the near future. We present a halo mass function emulator and demonstrate improved accuracy relative to state-of-the-art analytic models. In this work, mass is defined using an overdensity criteria of 200 relative to the mean background density. Our emulator is constructed from the AEMULUS simulations, a suite of 40 N-body simulations with snapshots from z = 3 to z = 0. These simulations cover the flat wCDM parameter space allowed by recent cosmic microwave background, baryon acoustic oscillation and SNe Ia results, varying the parameters w, Omega(m), Omega(b), sigma(8), N-eff, n(s), and H-0. We validate our emulator using five realizations of seven different cosmologies, for a total of 35 test simulations. These test simulations were not used in constructing the emulator, and were run with fully independent initial conditions. We use our test simulations to characterize the modeling uncertainty of the emulator, and introduce a novel way of marginalizing over the associated systematic uncertainty. We confirm nonuniversality in our halo mass function emulator as a function of both cosmological parameters and redshift. Our emulator achieves better than 1% precision over much of the relevant parameter space, and we demonstrate that the systematic uncertainty in our emulator will remain a negligible source of error for cluster abundance studies through at least the LSST Year 1 data set.ISSN
1538-4357Version
Final published versionSponsors
DOE [DE-SC0015975]; Sloan Foundation [FG-2016-6443]; NSF [AST-1211889]; U.S. Department of Energy [DE-AC02-76SF00515]; Samuel P. Langley PITT PACC Postdoctoral Fellowship; Office of Science of the U.S. Department of Energy [DE-AC02-05CH11231]Additional Links
http://stacks.iop.org/0004-637X/872/i=1/a=53?key=crossref.e86d59e5d8f6e4990d1fdf8eda7aa318ae974a485f413a2113503eed53cd6c53
10.3847/1538-4357/aaf568